This presentation brainstorms on how creativity can be algorithmically forged and eased through Design. A multi-dimensional parallel between semantics and deep learning outlines the complementarity of these AI approaches. Assuming an architecture which eases the communication between the two paradigms, I propose ways in which semantics could solve three fundamental flaws of Deep Learning: narrow focus, opacity and incapacity to build on what we already know.

The speaker

Dr Marilena Oita is a researcher in Machine Learning topics applied to Text Mining at IDSIA. She is a member of the Imprecise Probability Group. Her research interests focus on machine learning, natural language processing, information extraction, and information retrieval.

Registration is highly recommended

Pizza (or alternative food) and drinks will be offered at the end of the talk. If you plan to attend, please register in a timely fashion at the following link so that we will have no shortage of food.